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Walker Howard

#14Walker Howard

Walker Howard is a Dual-Threat QB for Louisiana. Walker's 2025 season produced 7.1 total EPA across 46 plays.

What projects, and what doesn't · QBs · held out 2019-2025

How well one season predicts the next, measured on seasons the model never trained on. 1.00 would be perfectly predictable; 0.00 means last year told us nothing.

  • Usage share (volume)0.46
    Beats guessing the QB average by 16%. n=2,421 QB seasons
  • EPA per play (efficiency)0.05
    Not projectable — we do not forecast this. n=1,965 QB seasons
  • Total EPA (value)0.51
    Beats guessing the QB average by 20%. n=1,965 QB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Walker Howard's projection is a projection of opportunity — how much of the offense he runs through. How well he converts it is something this model does not claim to know a year in advance, and the number above is why.

2025 Production

Passing
18/41 Comp/Att155 Pass yards0 Pass TD3 INT43.9% Comp %
Rushing
82 Rush yards1 Rush TD15 Carries5.5 Yards/carry

Performance Analysis · 2025 · vs QB peers

  • Efficiency0
  • Volume49
  • Dual-Threat100
  • Consistency17
  • Clutch100
Player type
Dual-Threat QB

A genuine rushing threat who stresses defenses horizontally. Extends plays with legs and forces extra gap assignments.

Rushing threatScrambles for valueStresses defensive structure
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency17th %ile · below avg
Key findings
  • Below-average efficiency vs QB peers — value comes through volume, not per-play impact.
  • High game-to-game variance — boom-or-bust profile.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group deals.

Tier is a model estimate based on position, school brand, performance rank, and usage — not a reported deal. NIL deals are private. For a real market valuation, see On3's NIL profile, which factors in social following and actual deal tracking.

Game Log · box score + EPA, week by week

+1.0301.03Wk 1 vs Rice: +0.19 EPA/play1Wk 10 vs South Alabama: -1.03 EPA/play10Wk 14 vs UL Monroe: +0.21 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsRiceL12-14-14.810/22880143.14710.19
8vsSouthern MissL10-22-7.12/6230126.020
9@TroyL23-35-4.80/10010.0
10@South AlabamaW31-22-12.70/10000.1-1.03
14vsUL MonroeW30-27-21.66/9440045.73300.21
20vsDelawareL13-20-10.90/20000.3

Usage & Situational · Pro

Snap-share proxy
Overall
17.0%
Passing plays
29.6%
Rushing plays
7.4%
Standard downs
10.3%
Passing downs
28.9%
EPA by down type
Standard downs
-0.04
Passing downs
0.28
Pass / Rush EPA
-0.01 / 0.74

Usage = share of team plays (CFBD has no true snap counts).

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.